NamespaceWhat it isolatesWhat the process seesPIDProcess IDsOwn process tree, starts at PID 1MountFilesystem mount pointsOwn mount table, can have different rootNetworkNetwork interfaces, routingOwn interfaces, IP addresses, portsUserUID/GID mappingCan be root inside, nobody outsideUTSHostnameOwn hostnameIPCSysV IPC, POSIX message queuesOwn shared memory, semaphoresCgroupCgroup root directoryOwn cgroup hierarchyTimeSystem clocks (monotonic, boot)Own system uptime and clock offsetsNamespaces are what Docker containers use. When you run a container, it gets its own PID namespace (cannot see host processes), its own mount namespace (own filesystem view), its own network namespace (own interfaces), and so on.
Let’s walk through what happens at runtime when pulling tasks from the
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In the months since, I continued my real-life work as a Data Scientist while keeping up-to-date on the latest LLMs popping up on OpenRouter. In August, Google announced the release of their Nano Banana generative image AI with a corresponding API that’s difficult to use, so I open-sourced the gemimg Python package that serves as an API wrapper. It’s not a thrilling project: there’s little room or need for creative implementation and my satisfaction with it was the net present value with what it enabled rather than writing the tool itself. Therefore as an experiment, I plopped the feature-complete code into various up-and-coming LLMs on OpenRouter and prompted the models to identify and fix any issues with the Python code: if it failed, it’s a good test for the current capabilities of LLMs, if it succeeded, then it’s a software quality increase for potential users of the package and I have no moral objection to it. The LLMs actually were helpful: in addition to adding good function docstrings and type hints, it identified more Pythonic implementations of various code blocks.
Age verification checks are now in force in the UK because of the Online Safety Act, but with the Discord fallout, it seems like one bad idea after another